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Benefits Diversity Engineering Research Students & new grads Back to search results Legal Counsel, EMEA Commercial London, United Kingdom Apply now Databricks — the global leader in data and AI — is looking for a motivated Legal Counsel to play a key role in our growing EMEA business. This is an opportunity to bring your SaaS commercial experience to a company defining the next generation of data, analytics and AI — partnering with sales teams to enable some of the world's most innovative organisations to build on the Databricks Data Intelligence Platform. You will report to the Director & Assistant General Counsel, EMEA Commercial Legal, and will be a valued part of
the team responsible for reviewing and negotiating customer agreements, providing legal support for revenue-generating activities of Databricks, and helping the business to improve processes and scale at pace. The impact you will have: Working in partnership with the sales teams to enable some of the best known companies in the world to adopt the world's leading data and AI platform. You will diligently help resolve legal issues to enable smooth and timely transactions, escalating to senior team members where appropriate. You will work collaboratively within an experienced and supportive legal team that will invest in your development and learn to confidently guide our sales teams on internal processes. You will have a genuine appetite to test, adopt and champion AI tools that make our legal function faster and smarter. Reviewing, drafting and negotiating commercial agreements, such as MCSAs, SOWs and Order Forms, ensuring that Databricks' risk position is protected and internal compliance
requirements are met; Supporting the end-to-end contract management lifecycle, providing practical, commercially-minded advice to sales and professional services teams on contractual risks and commercial matters; Actively testing and adopting AI tools to improve the efficiency of contract review and the wider legal function, and contributing to process improvements and good practices that help us scale; Providing support and enablement to sales teams on key contractual
requirements, best practices and contract management; Developing a strong understanding of Databricks' internal structures, product offerings, technology, security/data protection positions and policies to give you a foundation for providing support across Databricks' lines of business; Building your understanding of Databricks' commercial offerings to support sales teams (and customers where needed) during negotiations; Applying critical thinking and problem-solving skills to propose business solutions which can meet the business' and customers' needs; Cultivating strong cross-functional relationships with key stakeholders to support the Company's go-to-market efforts across EMEA; & Contributing as a team player to help further the status of the legal department as a respected and valued partner within the company.
Requirements for
the role: Bachelor's degree (or equivalent); Qualified lawyer (or equivalent), with approximately 3 years' PQE; Experience gained in-house at a leading SaaS company (or in private practice supporting one) with a regular/quarterly sales cycle; Solid experience negotiating MSAs, NDAs, Order Forms and legal amendments with enterprise customers; Familiarity with, or willingness to quickly learn, large CRM systems (like Salesforce) and contract management systems (like Ironclad); A genuine willingness to test and adopt AI tools to improve the efficiency and quality of legal work — this is a must, not a nice-to-have; Demonstrated ability to manage and prioritise time and business needs in the face of competing demands; Experience working with sales teams; A real appetite for the challenge of supporting a world-leading data and AI company operating at hyper-growth scale. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook .
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perks that meet the needs of all of our employees. For specific details on the
benefits offered in your region click here . Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Product Databricks Platform Platform Overview Sharing Governance Artificial Intelligence Business Intelligence Database Data Management Data Warehousing Data Engineering Business Productivity Application Development Security Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Product Databricks Platform Platform Overview Sharing Governance Artificial Intelligence Business Intelligence Database Data Management Data Warehousing Data Engineering Business Productivity Application Development Security Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Data Migration Professional Services Solution Accelerators Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Data Migration Professional Services Solution Accelerators Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog AI Blog Data Brew Podcast Champions of Data & AI Podcast Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog AI Blog Data Brew Podcast Champions of Data & AI Podcast About Company
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Location
London, UK
Total raised
$130.0M
Last stage
Series B
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.